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Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation

Hamed Bakhtiari, Zhong Jin, Manuel Alvarez

2021Applied Energy65 citationsDOI

Topics & Concepts

MicrogridMonte Carlo methodComputer scienceMarkov chain Monte CarloRenewable energyMarkov chainProbability distributionStochastic modellingMathematical optimizationUncertainty analysisSimulationBayesian probabilityEngineeringStatisticsMathematicsArtificial intelligenceMachine learningElectrical engineeringIntegrated Energy Systems OptimizationSmart Grid Energy ManagementHybrid Renewable Energy Systems
Predicting the stochastic behavior of uncertainty sources in planning a stand-alone renewable energy-based microgrid using Metropolis–coupled Markov chain Monte Carlo simulation | Litcius